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Workday Workday-Prism-Analytics Exam Syllabus Topics:

Workday Pro Prism Analytics Sample Questions:

1. In a Prism project, you have a dataset containing customer purchase transactions, including the customer ID, purchase amount, and purchase date. You want to analyze the total purchase amount for each customer over the entire period. What transformation stage should you apply to calculate the total purchase amount for each customer?

A) Group By
B) Union
C) Join
D) Explode

2. Why should you include Workday instance field types in the Workday report that you use to import data into Prism?

A) Performance is improved in the final Prism datasource when published.
B) Unions are more easily performed with instance field types.
C) The final Prism datasource can support drilling into Workday objects.
D) Joins are more easily performed with instance field types.

3. The Prism use case is to classify workers based on their pay. You must create a field that evaluates worker pay and returns a value that represents various pay ranges. How would you add this field for inclusion on the Prism data source?

A) Build an Evaluate Expression calculated field on your final Prism business object to evaluate workers against their pay.
B) Create a derived dataset and build a CASE calculated field to classify workers against their pay.
C) Build a CASE calculated field function on the TBL directly to ease later transformation.
D) Add the additional field to your raw data before you ingest into Prism.

4. You want to use a custom report containing prompts as a source connection for a table. What must you ensure to make this possible?

A) The prompts are mapped at the data change task level.
B) The custom report prompts have default values assigned on the report definition.
C) The prompts are marked as required.
D) The report is built on an indexed data source.

5. For a Prism use case, you have two datasets: one contains daily sales data, and the other contains monthly budget allocations. Before performing a join between these datasets, what transformation stage should you apply to the sales data to ensure it matches the granularity of the budget data?

A) Group By
B) Union
C) Filter
D) Manage Fields

Solutions: